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Fig. 6 | Journal of Cardiovascular Magnetic Resonance

Fig. 6

From: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance

Fig. 6

Representative real-time cine images of subjects at rest. The NUFFT was used to grid and reconstruct radial k-space data. Artifacts were subsequently suppressed using the GRASP and DRAPR techniques. Images were classified as having a 1-non-diagnostic, 2-severe, 3-moderate, and 4-minimal artifact level. All NUFFT images were 1-non-diagnostic. The five subjects shown at end-diastole represent the range of mean scores at rest. Subjects 1–4 are patients. The mean artifact levels with DRAPR for subjects 1–5 were 3.0, 3.3, 3.3, 4.0 and 4.0, accordingly. The body mass index (BMI) for subjects 1–5 was 38, 33, 26, 23 and 21 lbs/in2, accordingly

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